Location and Travel Details: Dayton, OH area preferred, remote considered Launch Your Career with a Paid Data Engineering Internship! Are you ready to build the future of data? We’re offering an exciting paid internship in Data Engineering, where you’ll integrate into an existing project team to gain hands-on experience in a breadth of data engineering and software development areas. This is your chance to work hands-on with advanced technologies and powerful data pipelines, transforming data that fuels innovation and business success. If you’re passionate about data, problem-solving, and making an impact—apply now for this highly competitive opportunity and start engineering the future! The Illumination Works 2026 Internship Program runs from May 2026 to August 2026. Start and end dates within those months are flexible, ensuring a minimum internship duration of 10 or more weeks. Please note your availability, including start, end, and any vacation days/weeks on your Cover Letter. Responsibilities may include: - Assist in the development and/or maintenance of data pipelines that support data extraction, cleansing, transformation, and load processes - Work on large-scale data systems, ensuring the efficient and secure movement of data across various platforms and exposure to downstream processes - Implement data integration strategies and build processes for cleaning and aggregating raw data from multiple sources - Collaborate with data scientists to ensure seamless integration of machine learning models into data pipelines - Optimize data storage and retrieval processes to enhance system performance - Assist with the design and development of data infrastructure on cloud platforms (e.g., AWS, Azure) - Communicate findings and present results to the project team, leadership, and fellow interns, providing clear recommendations and next steps Must have qualifications: - Senior or recent graduate in a 4-year university pursuing a degree in a relevant field (i.e., Computer Science, Information Technology, Engineering, or other related scientific field) - Minimum GPA of 3.4 on a 4.00 scale - Understanding of ETL processes, data modeling, and database architecture - Experience with SQL, Python and/or Cypher, as well as familiarity with data technologies such as Databricks, Neo4j, Spark, or Kafka - Familiarity with cloud platforms (AWS, Azure) and data storage solutions (e.g., graph databases, SQL databases, NoSQL databases, data lakes) - Strong analytical skills and attention to detail in handling large data sets - Innovative, creative, out-of-box thinking with willingness to learn new skills - Strong verbal and written communication skills - Proficiency in MS Office Suite (Word, Excel, PowerPoint) - Acceptable candidates must successfully pass a drug test, pass a background screen, and provide official transcripts - US Citizenship Additional desired qualifications: - Experience with collaborative coding and source control tools (e.g., GitHub) - Experience working in an agile framework with tools such as Jira Application requirements: - Resume with GPA - Cover letter with why you are interested in the internship, why you feel you are the right fit for the internship, your goals for the internship, and your schedule availability - Letter of reference (strongly encouraged) About Illumination Works At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Check out our website to learn more at www.ilwllc.com. Illumination Works is committed to hiring and retaining the best workforce. We hire the best talent for our customer’s needs. We make our hiring decisions without regard to race, color, religion, sexual orientation, gender identity or national origin, age, veteran status, disability, or any other protected class. Acceptable candidates must successfully pass a drug test and background screen.

• Design and build data solutions • Work directly with clients • Support the deployment of AI-based analytics and process optimization use cases

• Design and build data solutions • Work directly with clients • Support the deployment of AI-based analytics and process optimization use cases

• Create and maintain optimal data pipeline architecture. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater performance and scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. • Work with data and analytics experts to strive for greater functionality in our data systems.